{"id":361,"date":"2025-01-31T19:49:00","date_gmt":"2025-05-30T21:29:53","guid":{"rendered":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/c\/definition_clusterisation\/"},"modified":"2025-06-06T03:12:48","modified_gmt":"2025-06-06T01:12:48","slug":"definition-clusterisation","status":"publish","type":"post","link":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/c\/definition-clusterisation\/","title":{"rendered":"Clusterisation"},"content":{"rendered":"\n<p>La clusterisation, ou <em>clustering<\/em> en anglais, est une technique d&rsquo;apprentissage automatique non supervis\u00e9e essentielle en intelligence artificielle et en prompt engineering. Elle permet de regrouper des donn\u00e9es similaires en ensembles appel\u00e9s \u00ab\u00a0clusters\u00a0\u00bb. Qu&rsquo;est-ce que la clusterisation ? C&rsquo;est le processus de regroupement automatique d&rsquo;\u00e9l\u00e9ments similaires en fonction de leurs caract\u00e9ristiques.<\/p>\n\n\n\n<figure class=\"wp-block-audio\"><audio controls src=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-content\/uploads\/2025\/01\/fr-Clusterisation.mp3\"><\/audio><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\">Comment fonctionne la clusterisation ?<\/h3>\n\n\n\n<p>Imaginez que vous triez des chaussettes apr\u00e8s la lessive. Vous regroupez les chaussettes noires ensemble, les blanches ensemble, les rouges ensemble, etc. La clusterisation fonctionne de mani\u00e8re similaire. Des algorithmes analysent les donn\u00e9es \u00e0 la recherche de similarit\u00e9s et regroupent les \u00e9l\u00e9ments qui se ressemblent le plus. Plusieurs m\u00e9thodes existent, chacune utilisant des crit\u00e8res diff\u00e9rents pour mesurer la similarit\u00e9, comme la distance entre les points de donn\u00e9es. Certains algorithmes cr\u00e9ent des groupes distincts (chaque chaussette appartient \u00e0 une seule pile), tandis que d&rsquo;autres autorisent le chevauchement (une chaussette ray\u00e9e rouge et blanche pourrait aller dans la pile rouge <em>et<\/em> la pile blanche).<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Pourquoi la clusterisation est-elle importante ?<\/h3>\n\n\n\n<p>En IA et en prompt engineering, la clusterisation est pr\u00e9cieuse pour de nombreuses t\u00e2ches. Elle permet de d\u00e9couvrir des structures cach\u00e9es dans les donn\u00e9es, de segmenter des utilisateurs, d&rsquo;am\u00e9liorer les recommandations et de faciliter la classification. Par exemple, en analysant les requ\u00eates des utilisateurs, un moteur de recherche peut utiliser la clusterisation pour regrouper des recherches similaires (ex: \u00ab\u00a0meilleur restaurant italien\u00a0\u00bb, \u00ab\u00a0restaurant italien proche de moi\u00a0\u00bb, \u00ab\u00a0italien gastronomique\u00a0\u00bb) et ainsi mieux comprendre l&rsquo;intention de l&rsquo;utilisateur et fournir des r\u00e9sultats plus pertinents. En prompt engineering, la clusterisation peut aider \u00e0 identifier des groupes de prompts similaires et \u00e0 optimiser leur formulation pour des r\u00e9sultats plus coh\u00e9rents.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\">Exemples d&rsquo;utilisation de la clusterisation<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Segmentation client&nbsp;:<\/strong> Regrouper des clients ayant des profils d&rsquo;achat similaires pour des campagnes marketing cibl\u00e9es.<\/li>\n\n\n\n<li><strong>Analyse de texte&nbsp;:<\/strong> Identifier des sujets ou des th\u00e8mes r\u00e9currents dans un ensemble de documents.<\/li>\n\n\n\n<li><strong>Reconnaissance d&rsquo;images&nbsp;:<\/strong> Regrouper des images similaires en fonction de leur contenu.<\/li>\n\n\n\n<li><strong>D\u00e9tection d&rsquo;anomalies&nbsp;:<\/strong> Identifier les points de donn\u00e9es qui s&rsquo;\u00e9cartent significativement des clusters \u00e9tablis.<\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\">Termes associ\u00e9s<\/h3>\n\n\n\n<ul id=\"TermesAssocies\" class=\"wp-block-list\">\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Apprentissage+non+supervis%C3%A9\">Apprentissage non supervis\u00e9<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Classification\">Classification<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Machine+learning\">Machine learning<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Data+mining\">Data mining<\/a><\/li>\n\n\n\n<li><a href=\"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/?s=Analyse+de+donn%C3%A9es\">Analyse de donn\u00e9es<\/a><\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>La clusterisation, ou clustering en anglais, est une technique d&rsquo;apprentissage automatique non supervis\u00e9e essentielle en intelligence artificielle et en prompt engineering. Elle permet de regrouper des donn\u00e9es similaires en ensembles appel\u00e9s \u00ab\u00a0clusters\u00a0\u00bb. Qu&rsquo;est-ce que la clusterisation ? C&rsquo;est le processus de regroupement automatique d&rsquo;\u00e9l\u00e9ments similaires en fonction de leurs caract\u00e9ristiques. Comment fonctionne la clusterisation ? [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_uag_custom_page_level_css":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[17],"tags":[175,64,39,400,265,41],"class_list":["post-361","post","type-post","status-publish","format-standard","hentry","category-c","tag-analyse-de-donnees","tag-apprentissage-non-supervise","tag-classification","tag-clusterisation","tag-data-mining","tag-machine-learning"],"uagb_featured_image_src":{"full":false,"thumbnail":false,"medium":false,"medium_large":false,"large":false,"1536x1536":false,"2048x2048":false},"uagb_author_info":{"display_name":"bruno.peaumier@gmail.com","author_link":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/author\/bruno-peaumiergmail-com\/"},"uagb_comment_info":0,"uagb_excerpt":"La clusterisation, ou clustering en anglais, est une technique d&rsquo;apprentissage automatique non supervis\u00e9e essentielle en intelligence artificielle et en prompt engineering. Elle permet de regrouper des donn\u00e9es similaires en ensembles appel\u00e9s \u00ab\u00a0clusters\u00a0\u00bb. Qu&rsquo;est-ce que la clusterisation ? C&rsquo;est le processus de regroupement automatique d&rsquo;\u00e9l\u00e9ments similaires en fonction de leurs caract\u00e9ristiques. Comment fonctionne la clusterisation ?\u2026","_links":{"self":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/361","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/comments?post=361"}],"version-history":[{"count":5,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/361\/revisions"}],"predecessor-version":[{"id":1205,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/posts\/361\/revisions\/1205"}],"wp:attachment":[{"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/media?parent=361"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/categories?post=361"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/happynumeric.com\/lexique-intelligence-artificielle\/wp-json\/wp\/v2\/tags?post=361"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}